Figure from Allison Horst
We will will building on our lesson on ggplot101 and ggplot102 which focused on an overall understanding of the grammar of graphics, basic syntax, adding data, aesthetic mappings, geoms, facets, scales, labels, and themes. Today we are going to apply what we learned towards trying to better understanding our underlying data distributions.
Often, we think about figure generation as the last part of the scientific process, something you do as you prepare a manuscript for publication. I hope to convince you that exploring your data, and making exploratory plots is a critical part of the data analysis and interpretation process.